Yunhao (Andy) Ge     葛云皓

Research Scientist @ NVIDIA

Email: yunhaog at nvidia dot com

    [About Me] [News] [Publications] [Experience]

About Me

I am a Research Scientist at NVIDIA Research, working on Generative AI. I received my Ph.D. in Computer Science from University of Southern California advised by Prof. Laurent Itti, and was honored with the Amazon ML Fellowship. I was a Visiting Ph.D. Student at Stanford Vision and Learning Lab (SVL) advised by Prof. Jiajun Wu. I have broad research interests in Computer Vision and Natural Language Processing, with a recent focus on building foundation models for Multimodal-Large Language Models and Text-guided 2D/3D Generation.

Previously, I was fortunate to intern/work at Google Research, Google Cloud AI, Microsoft Research, United Imaging Intelligence, and Flexiv Robotics. Before that, I got my M.Sc. degree at Robotics Institute at Shanghai Jiao Tong University.


News & Updates

Selected Publications [Google Scholar]

DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models

Brian Nlong Zhao, Yuhang Xiao*, Jiashu Xu*, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge (*=co-second author, †=equal contribution)
arxiv:2312.14216, 2023.

[paper] [code] [project page]

3D Copy-Paste: Physically-Plausible Object Insertion for Monocular 3D Detection

Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
NeurIPS 2023 (Advances in Neural Information Processing Systems).

[paper] [code] [project page]

DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection
Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation

Yunhao Ge*, Jiashu Xu*, Brian Nlong Zhao, Neel Joshi, Laurent Itti, Vibhav Vineet (*=equal contribution)
arXiv:2206.09592, 2022.

[paper(Beyond Generation)] [paper(DALL-E for Detection)] [code]

CLR: Channel-wise Lightweight Reprogramming for Continual Learning

Yunhao Ge, Yuecheng Li*, Shuo Ni*, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti (*=equal contribution as second author)
ICCV 2023 (International Conference on Computer Vision).

[paper] [code] [SKILL-102 Dataset]

Lightweight Learner for Shared Knowledge Lifelong Learning

Yunhao Ge, Yuecheng Li*, Di Wu*, Ao Xu*, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, Shixian wen, Po-Hsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti (*=equal contribution as second author)
TMLR (Transactions on Machine Learning Research).

[paper] [code] [project page] [SKILL-102 Dataset] [USC Viterbi Press]

Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models

Yunhao Ge*, Jie Ren*, Jiaping Zhao, Kaifeng Chen, Andrew Gallagher, Laurent Itti, and Balaji Lakshminarayanan (*=equal contribution)
Knowledge and Logical Reasoning workshop @ ICML 2023


Improving Zero-shot Generalization and Robustness of Multi-modal Models

Yunhao Ge*, Jie Ren*, Andrew Gallagher, Yuxiao Wang, Ming-Hsuan Yang, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, and Jiaping Zhao (*=equal contribution)
CVPR 2023 (IEEE/ CVF International Conference on Computer Vision and Pattern Recognition).

[paper] [code] [project page]

Neural-Sim: Learning to Generate Training Data with NeRF

Yunhao Ge, Harkirat Behl*, Jiashu Xu*, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, and Vibhav Vineet (*=equal contribution as second author)
ECCV 2022 (European Conference on Computer Vision).

[paper] [code]

Contributions of Shape, Texture, and Color in Visual Recognition

Yunhao Ge*, Yao Xiao*, Zhi Xu, Xingrui Wang, Laurent Itti (*=equal contribution)
ECCV 2022 (European Conference on Computer Vision).

[paper] [code]

A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts

Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti and Ziyan Wu
CVPR 2021 (IEEE/ CVF International Conference on Computer Vision and Pattern Recognition).

[paper] [github] [project page] [video] [知乎] [机器之心] [AI科技评论]

Zero-shot Synthesis with Group-Supervised Learning

Yunhao Ge, Sami Abu-El-Haija, Gan Xin and Laurent Itti
ICLR 2021 (International Conference on Learning Representations).

[paper] [code] [project page] [Fonts Dataset] [USC Viterbi Press] [知乎] [AI科技评论]
[ USC News ] [ Tech Xplore ] [ Technology Networks ]

Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition

Yunhao Ge, Jiaping Zhao, Laurent Itti
ECCV 2020 (European Conference on Computer Vision).

[paper] [github] [video-1min] [video-10min]

Unpaired MR to CT Synthesis with Explicit Structural Constrained Adversarial Learning

Yunhao Ge*, Dongming Wei*, Zhong Xue, Yiqiang Zhan, Xiang Zhou, Qian Wang and Shu Liao (*=equal contribution)
ISBI 2019 (IEEE International Symposium on Biomedical Imaging).

[paper] [code]

Unpaired Whole-body MR to CT Synthesis with Correlation Coefficient Constrained Adversarial Learning

Yunhao Ge, Zhong Xue, Yiqiang Zhan, Xiang Zhou and Shu Liao
SPIE 2019 (SPIE-Medical Imaging).

[paper] [code]

Oral Presentation

Intern & Work Experience

Google Research, Los Angeles, USA (May. 2022 - Dec. 2022)

Google Cloud AI, Mountain View, USA (Aug. 2021 - May 2022)

Microsoft Research, Redmond, USA (May. 2021 - Aug. 2021)

UII America, Inc, Boston, USA (May. 2020 - Aug. 2020)

Flexiv Ltd, Shanghai, China (May. 2019 - Aug. 2019)

United Imaging Intelligence Co., Ltd, Shanghai, China (Jun. 2018 - Apr. 2019)


Academic Service

Reviewer of the following conferences/journals:

NeurIPS 2023, 2022, 2021
CVPR 2023, 2022
ECCV 2022
ICCV 2023, 2021
ICLR 2023, 2022
ICML 2022
WACV 2023
IEEE Transactions on Medical Imaging (TMI)
IEEE Access
Applied Optics

Last update: Sep. 25, 2023